# Modal
> Modal is an AI infrastructure platform that enables developers to run inference, training, and batch processing in the cloud. It features a serverless architecture designed for high-performance workloads with sub-second cold starts and instant autoscaling, allowing code to feel local while executing on remote GPUs.
- URL: https://optimly.ai/brand/modal
- Logo: https://logo.clearbit.com/https://modal.com
- Slug: modal
- BAI Score: 68/100
- Archetype: Challenger
- Category: Cloud Computing
- Last Analyzed: April 9, 2026
## Competitors
- Baseten (https://optimly.ai/brand/baseten)
## Also Referenced By
- Anyscale (https://optimly.ai/brand/anyscale)
- Anyscale / Ray (https://optimly.ai/brand/anyscale-ray)
- E2b (https://optimly.ai/brand/e2b)
## Buyer Intent Signals
Problems: Manual Cloud Infrastructure Management: Using Terraform or Kubernetes to manually provision and manage GPU clusters on AWS, GCP, or Azure.
Solutions: serverless gpu for ai inference | gpu infrastructure with fast cold starts | cloud platform for training ai models | best way to run glm-5.1 model | infrastructure for cognition ai and lovable | Generic Serverless Functions: Utilizing general-purpose serverless platforms like AWS Lambda, which often lack native GPU support and have long cold starts for large AI models. | Managed Notebooks: Relying on pre-configured managed notebook environments like Google Colab or SageMaker for ad-hoc processing without automated production scaling.
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## Full Details / RAG Data
### Overview
Modal is listed in the AI Directory.
Modal is an AI infrastructure platform that enables developers to run inference, training, and batch processing in the cloud. It features a serverless architecture designed for high-performance workloads with sub-second cold starts and instant autoscaling, allowing code to feel local while executing on remote GPUs.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | Modal |
| Slug         | modal |
| URL          | https://optimly.ai/brand/modal |
| Logo         | https://logo.clearbit.com/https://modal.com |
| BAI Score    | 68/100 |
| Archetype    | Challenger |
| Category     | Cloud Computing |
| Last Analyzed | April 9, 2026 |
| Last Updated | 2026-04-27T16:53:20.125Z |
### Verified Facts
- Founded: 2022
- Headquarters: New York, NY
### Competitors
| Name | Profile |
|------|---------|
| Baseten | https://optimly.ai/brand/baseten |
### Also Referenced By
- Anyscale (https://optimly.ai/brand/anyscale)
- Anyscale / Ray (https://optimly.ai/brand/anyscale-ray)
- E2b (https://optimly.ai/brand/e2b)
### Buyer Intent Signals
#### Problems this brand solves
- Manual Cloud Infrastructure Management: Using Terraform or Kubernetes to manually provision and manage GPU clusters on AWS, GCP, or Azure.
#### Buyers search for
- serverless gpu for ai inference
- gpu infrastructure with fast cold starts
- cloud platform for training ai models
- best way to run glm-5.1 model
- infrastructure for cognition ai and lovable
- Generic Serverless Functions: Utilizing general-purpose serverless platforms like AWS Lambda, which often lack native GPU support and have long cold starts for large AI models.
- Managed Notebooks: Relying on pre-configured managed notebook environments like Google Colab or SageMaker for ad-hoc processing without automated production scaling.
### Links
- Canonical page: https://optimly.ai/brand/modal
- JSON endpoint: /brand/modal.json
- LLMs.txt: /brand/modal/llms.txt